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PODCAST

The AI in Business Podcast

Daniel Faggella

The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI. Each week, Emerj research staff and journalists interview top AI executives from Fortune 2000 firms and unicorn startups - uncovering trends, use-cases, and best practices for practical AI adoption. Visit our advertising page to learn more about reaching our executive audience of Fortune 2000 AI adopters: https://emerj.com/advertise

technology management

All Episodes

28:14

Why Predictive AI in Service Only Works on the Right...

The AI in Business Podcast ·

2026/05/13

Enterprise service leaders are realizing that deploying AI for simple productivity gains fails to resolve the underlying issues that cause repeat truck rolls and high costs. In this episode, Niken Patel, CEO and Co-Founder at Neuron7.ai, unpacks why moving beyond basic automation requires a deterministic intelligence layer to make fragmented data ready for complex resolution decision-making. The discussion focuses on benchmarking industry performance, educating core teams on AI readiness, and

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23:16

Building Predictive Safety Systems in Energy...

The AI in Business Podcast ·

2026/05/12

Energy organizations have made progress in safety, but most still rely on backward‑looking investigations rather than systems that anticipate when risk is rising. In this episode, Patricio Rivera, Former Vice President of HSE International at Oxy, joins host Matthew DeMello and examines how learning from good days and leveraging existing observation data can strengthen an organization's ability to predict and prevent safety‑critical events. He highlights the practical shifts required to extend

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37:10

Fixing the Pilot‑to‑Production Gap in Enterprise AI -...

The AI in Business Podcast ·

2026/05/11

AI enthusiasm has outpaced enterprise readiness, leaving many organizations stuck with pilots that work in the lab but fail to deliver meaningful value in production. In this episode, Lawrence Whittle, Chief Strategy Officer at HTEC Group, joins Emerj's Marilie Fouché to examine how the gap between individual users, isolated use cases, and true end‑to‑end sequences prevents companies from moving beyond experimentation. He highlights the practical shifts required — smaller real deployments, tighter

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30:02

From Experimentation to Clinical-grade AI in...

The AI in Business Podcast ·

2026/05/05

Agentic AI is running into a hard limit: most enterprise systems, security layers, and operational backends aren't yet built to support automated execution at scale. Alex Tyrrel, SVP and CTO of Health at Wolters Kluwer, joins Emerj's Matthe DeMello to unpack how agentic systems adapt models to domain‑specific tasks and act directly inside regulated environments. He outlines the practical requirements for higher‑velocity automation, including tighter APIs and entitlements, stronger observability and

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34:11

Capturing Tribal Knowledge to Solve the Manufacturing...

The AI in Business Podcast ·

2026/05/01

A widening gap between retiring experts, manual craftsmanship, and limited process visibility is making it increasingly difficult for manufacturers to maintain consistency, prevent errors early, and onboard new operators effectively. In this episode, Sebastian Dykas, Director of Manufacturing, Engineering, and Maintenance at Smith+Nephew, joins Emerj's Marilie Fouche to examine how capturing best practices and connecting machines for real‑time data can tighten control and reduce variability across

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26:05

Designing Supply Chains for Volatility - with Dr....

The AI in Business Podcast ·

2026/04/28

Volatility is exposing the limits of traditional scenario planning, where siloed KPIs and thin operational margins prevent enterprises from seeing how disruptions cascade across forecasting, procurement, and operations. In this episode, Dr. Gopalendu Pal, Director of Operations at Target, joins us to examine how running hundreds of interconnected simulations enables leaders to understand enterprise‑level tradeoffs and make decisions that hold up under shifting demand and supply constraints. He

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36:26

Operationalizing Real-Time Voice Intelligence for...

The AI in Business Podcast ·

2026/04/24

Voice-based fraud has moved from a fringe security concern to a primary operational risk for financial institutions and enterprise contact centers, and the authentication methods most organizations rely on are no longer adequate. In this episode, Ken Morino, Director of Marketing and Behavioral Research at Modulate, examines how enterprise leaders can deploy real-time voice intelligence to detect fraud patterns, protect customer trust, and build clear accountability structures across fraud, CX, and

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20:40

Building Trustworthy AI for Enterprise Workflows -...

The AI in Business Podcast ·

2026/04/21

The consistency gap in enterprise AI represents a critical failure point where unpredictable system behavior outside of controlled demos threatens to derail executive sponsorship and regulatory compliance. In this episode, Amar Akshat, SVP & Chief Architect at Paysafe, examines how leaders can move beyond experimental shadow AI by embedding determinism and high-threshold guardrails directly into the production pipeline. The discussion outlines a rigorous evaluation framework centered on treating

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22:01

Scaling Regulated Data Workflows Without Lock‑In -...

The AI in Business Podcast ·

2026/04/17

Legacy financial systems often trap organizations in "data swamps" where AI is mistakenly treated as a magic fix for fundamentally broken manual architectures. In this episode, Juan Orlandini, CTO of North America at Insight, outlines why senior executives must distinguish between statistical AI outputs and the mathematical precision required for financial compliance to avoid significant reporting risks. The conversation provides a roadmap for building a scalable operating layer by prioritizing data

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30:57

Breaking Bottlenecks in Life Sciences R&D with AI...

The AI in Business Podcast ·

2026/04/16

R&D teams are starting to advance AI capabilities faster than they can translate them into measurable business value, creating mounting friction between scientific progress and operational reality. In this episode, Aziz Nazha, Global Head of AI Innovations Institute at Incyte Pharmaceuticals, examines how culture, talent, infrastructure, and expectation‑setting determine whether AI meaningfully improves drug discovery and development. He highlights the practical shifts required — from redesigning

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29:35

Scaling Customer Experience with Operationalized...

The AI in Business Podcast ·

2026/04/16

A recurring challenge for leaders is that the use cases they expect to automate rarely match what customers actually struggle with once large‑scale conversation data is analyzed. In this episode, Shezan Kazi, Head of AI Transformation and AI Products at Dialpad, examines how autonomous agents should take the first pass on high‑volume deterministic requests, when they must hand off to humans, and why confidence scoring and oversight models are essential for safe deployment. He highlights the

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39:27

Turning Computer Vision Into Real‑World Value at...

The AI in Business Podcast ·

2026/04/15

A major shift is underway as enterprises move from lab‑ready computer vision to the far more complex reality of deploying visual intelligence across messy, variable, high‑stakes physical environments. In this episode, Joseph Nelson, Co‑founder and CEO at Roboflow, examines how dependable visual data, models tuned to real operating conditions, and integration with existing production and safety systems determine whether visual AI delivers meaningful value. He highlights the practical moves that

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21:05

Making Workforce Training Affordable with Tiered...

The AI in Business Podcast ·

2026/04/14

Today's guest is Aaron Demory, Senior Partner at Fearlus and Chief of Information Technology and Security at the FDIC. Fearlus is a strategic governance and risk innovation firm headquartered in Washington, D.C., founded in 2024. They offer the Fearlus Risk Operating Model, a structured approach designed to help organizations align strategy, execution, and governance through cognitive infrastructure and decision clarity. Aaron joins Emerj Editorial Director Matthew DeMello on today's show to share

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24:26

Connecting Forecasting and Warehouse Decisions at...

The AI in Business Podcast ·

2026/04/08

Operational complexity in modern distribution centers is accelerating faster than most organizations can adapt, leaving leaders with fragmented data, static facility designs, and inefficiencies that compound across planning and fulfillment. In this episode, Jerod Hamilton, Director of 3PL Warehouse Strategy at Tyson Foods, joins Emerj's Marilie Fouche to examine how disconnected forecasting and warehousing systems limit real‑time decisioning and obscure the true sources of leakage inside large‑scale

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30:03

Decentralized Trials That Scale Globally Without...

The AI in Business Podcast ·

2026/04/07

Today's guest is Emma Vitalini, Head of Global Digital Health Technology Innovation at Amgen. Amgen is a global biotechnology company focused on discovering, developing, and delivering medicines for serious illnesses. Emma joins Emerj Editorial Director Matthew DeMello to examine how data and AI are reshaping patient recruitment, decentralized clinical trials, and compliance workflows in highly regulated healthcare environments. Emma also discusses practical ways AI can surface unstructured genomic

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29:55

Solving the Expertise Gap with AI in Manufacturing -...

The AI in Business Podcast ·

2026/04/06

Aging expertise, paper‑based instructions, and inconsistent onboarding are creating a widening execution gap on the factory floor as experienced workers retire and new operators expect real‑time digital support. In this episode, Antoine Bisson, CEO and Co‑Founder at Poka, examines how manufacturers can capture institutional knowledge and convert it into structured digital guidance that accelerates training and stabilizes performance. Poka is a connected‑worker platform for manufacturers. It

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30:23

How Digital K‑1 Data Changes Tax Workflow Maturity -...

The AI in Business Podcast ·

2026/04/02

Tax processes remain constrained by document-based workflows that limit data accessibility, speed, and cross-system integration. In this episode, Neal Schneider, Co-Founder and CTO at K1x, and Ken Powell, Chief Revenue Officer at K1x, unpack how shifting to standardized, connected tax data enables more efficient processing, interoperability, and improved use of information across stakeholders. The discussion focuses on reducing manual data handling, progressing through stages of data maturity, and

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40:12

Closing the Customer Service Gap: How AI Is...

The AI in Business Podcast ·

2026/04/01

The gap between customer expectations and operational delivery is widening as traditional reactive service models struggle with volume volatility and workforce attrition. In this episode, Philipp Heltewig, Chief AI Officer at NiCE, unpacks how enterprises can transition to a proactive, AI-first customer experience by rethinking core service processes for the age of automation. The discussion outlines the shift from measuring simple deflection to prioritizing resolution quality, alongside the

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21:04

Creating a Single Source of Truth for Enterprise...

The AI in Business Podcast ·

2026/03/31

Enterprise legal departments are currently navigating a breakdown in AI adoption caused by scattered data, inconsistent global regulations, and a lack of clear governance for grading automated workflows. In this episode, Christo Siebrits, Senior Associate and General Counsel at AbbVie, outlines how a validated internal large language model environment combined with a forced-ranking strategy for use cases can mitigate risk while focusing technical resources on high-value initiatives. The discussion

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46:23

What Global Tariff Uncertainty Means for Supply Chain...

The AI in Business Podcast ·

2026/03/27

Supply chains are being pushed to move faster while geopolitical volatility makes traditional planning cycles increasingly fragile for global enterprises. In this episode, Edmund Zagorin, Founding Chief Strategy Officer at Arkestro, and Mike Shin, Chief Supply Chain Officer at Trinity Rail Industries, join Daniel Faggella, Emerj CEO and Head of Research, to examine how proactive, data‑driven procurement models help organizations balance cost, capacity, and continuity under these conditions. They

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1,218 results

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